2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.IR2024
Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation
Chuan He, Yongchao Liu, Qiang Li +5
Sequential recommendation (SR) aims to predict the next purchasing item according to users' dynamic preference learned from their historical user-item interactions. To improve the…
cs.CV2024★ 2 cited
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
Zheng Li, Xiang Li, Xinyi Fu +4
Prompt learning has emerged as a valuable technique in enhancing vision-language models (VLMs) such as CLIP for downstream tasks in specific domains. Existing work mainly focuses o…
cs.LG2023★ 2 cited
Privacy-preserving design of graph neural networks with applications to vertical federated learning
Ruofan Wu, Mingyang Zhang, Lingjuan Lyu +6
The paradigm of vertical federated learning (VFL), where institutions collaboratively train machine learning models via combining each other's local feature or label information, h…